Power Consumption and Calculation Requirement Analysis of AES for WSN IoT

Area of Science:

• Computer Science
• Electrical Engineering
• Cybersecurity

Background:

• The proliferation of Internet of Things (IoT) devices necessitates efficient power consumption and robust security measures.
• Advanced Encryption Standard (AES) is a critical cryptographic algorithm widely adopted in IoT systems.

Purpose of the Study:

• To analyze the power consumption and cryptographic calculation requirements of different AES encryption types and payload lengths in IoT devices.
• To compare software-based AES with hardware-based AES-ECB and AES-CCM modes.

Main Methods:

• Implementation and measurement of power consumption and calculation cycles for various AES modes (software AES-CB, hardware AES-ECB, hardware AES-CCM) on the Texas Instruments LAUNCHXL-CC1310 platform.
• Evaluation across different payload lengths.

Main Results:

• Hardware-based AES implementations significantly outperform software-based AES in terms of reduced power consumption and calculation cycles.
• AES-CCM-MIC64 demonstrates a favorable balance between security, computational overhead, and power efficiency.
• For low-power requirements and payloads under 16 bytes, AES-ECB presents a viable option.

Conclusions:

• Hardware acceleration is crucial for optimizing AES performance in power-constrained IoT environments.
• AES-CCM-MIC64 is a recommended mode for IoT devices prioritizing security, efficiency, and low power consumption.
• AES-ECB can be considered for specific low-power, small-payload scenarios.